---
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# zephyr-7b-dpo-full

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5418
- Rewards/chosen: -3.1726
- Rewards/rejected: -4.7390
- Rewards/accuracies: 0.7539
- Rewards/margins: 1.5664
- Logps/rejected: -761.6608
- Logps/chosen: -598.8974
- Logits/rejected: 0.2389
- Logits/chosen: -0.0634

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6142        | 0.07  | 100  | 0.6372          | -0.2112        | -0.4255          | 0.6992             | 0.2143          | -330.3116      | -302.7545    | -1.7521         | -1.7871       |
| 0.4726        | 0.15  | 200  | 0.5516          | -1.3441        | -2.1046          | 0.75               | 0.7605          | -498.2208      | -416.0410    | -2.0018         | -2.0471       |
| 0.4421        | 0.22  | 300  | 0.5335          | -1.1470        | -2.0463          | 0.7539             | 0.8992          | -492.3901      | -396.3379    | -1.7522         | -1.8325       |
| 0.3828        | 0.3   | 400  | 0.5238          | -1.6652        | -2.7617          | 0.7695             | 1.0965          | -563.9280      | -448.1488    | -0.9530         | -1.1204       |
| 0.3576        | 0.37  | 500  | 0.5184          | -1.6238        | -2.7277          | 0.7695             | 1.1039          | -560.5328      | -444.0173    | -0.8922         | -1.1202       |
| 0.3328        | 0.45  | 600  | 0.5151          | -2.1202        | -3.4092          | 0.7656             | 1.2890          | -628.6859      | -493.6552    | 0.2423          | -0.0694       |
| 0.3131        | 0.52  | 700  | 0.5153          | -1.7034        | -2.9038          | 0.7656             | 1.2004          | -578.1398      | -451.9696    | 0.1729          | -0.1656       |
| 0.2547        | 0.59  | 800  | 0.5256          | -2.5366        | -3.8570          | 0.7617             | 1.3204          | -673.4565      | -535.2915    | 0.4476          | 0.1270        |
| 0.2764        | 0.67  | 900  | 0.5221          | -2.5675        | -3.9457          | 0.7773             | 1.3782          | -682.3342      | -538.3813    | 0.0520          | -0.2431       |
| 0.2261        | 0.74  | 1000 | 0.5298          | -2.7657        | -4.2499          | 0.7695             | 1.4842          | -712.7483      | -558.2006    | 0.2023          | -0.1104       |
| 0.2219        | 0.82  | 1100 | 0.5380          | -3.0986        | -4.6646          | 0.7695             | 1.5660          | -754.2211      | -591.4904    | 0.3078          | -0.0067       |
| 0.2165        | 0.89  | 1200 | 0.5336          | -2.9855        | -4.5026          | 0.7617             | 1.5170          | -738.0179      | -580.1855    | 0.2015          | -0.0980       |
| 0.1728        | 0.97  | 1300 | 0.5418          | -3.1726        | -4.7390          | 0.7539             | 1.5664          | -761.6608      | -598.8974    | 0.2389          | -0.0634       |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2